A stochastic approach to group recommendations in social media systems

Abstract

Recommender systems are becoming increasingly important not only to individual users but also to groups of people. This study focuses on the issue of recommending items to communities of interest (i.e., groups) that are specifically formed in social media systems. To deal with this issue, we introduce a new graph model that profits from fruitful tagging… (More)
DOI: 10.1016/j.is.2014.10.002

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Cite this paper

@article{Kim2015ASA, title={A stochastic approach to group recommendations in social media systems}, author={Heung-Nam Kim and Abdulmotaleb El-Saddik}, journal={Inf. Syst.}, year={2015}, volume={50}, pages={76-93} }